ANALISIS PERBANDINGAN METODE FORWARD DAN BACKWARD DALAM PEMODELAN REGRESI LINEAR BERGANDA

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dc.contributor.authorTahir, Yofi Kurnia
dc.contributor.supervisorEfendi, Rustam
dc.date.accessioned2024-02-06T03:18:43Z
dc.date.available2024-02-06T03:18:43Z
dc.date.issued2023-10
dc.description.abstractThe issue of health insurance costs has become a major concern in the healthcare system in the USA. Determining the accurate health insurance cost is crucial for individuals and families who rely on health insurance for financing their healthcare. This research aims to compare the most effective methods for determining health insurance costs using variable selection methods in multiple linear regression models. The variable selection methods used are forward selection and backward elimination. Based on the application in the regression model, the forward selection method yielded dan RMSE values of 79.68% and 2024.295, respectively. The backward elimination method produced dan RMSE values of 96.77% and 807.175, respectively. The most effective variable selection method for determining health insurance costs in this case is backward elimination.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11309
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectBackward eliminationen_US
dc.subjectforward selectionen_US
dc.subjectregression modelen_US
dc.titleANALISIS PERBANDINGAN METODE FORWARD DAN BACKWARD DALAM PEMODELAN REGRESI LINEAR BERGANDAen_US
dc.title.alternativeElfitraen_US
dc.typeArticleen_US

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